APEX004 AI/ML Engineer

APEX004 AI/ML Engineer

Chantilly, VA

Clearance: TS/SCI w CI Polygraph

Job Functions:

Work with our modeling and simulation team to conduct a wide variety of analyses in support of government satellite programs in Earth orbits

Develop new Machine Learning (ML) algorithms for applications such as

• Using optical and radar space-surveillance sensors to recognize different types of satellites
• Scheduling space surveillance sensor networks to find, recognize and track maneuvering satellites
• Deciding what activities satellites should undertake

Algorithm development will include steps such as

• Conducting Exploratory Data Analysis (EDA) to identify patterns
• Designing, developing, and evaluating machine learning algorithms, including supervised, unsupervised, and reinforcement learning
• Building, training, and tuning predictive models
• Collaborating with cross-functional teams to identify and solve problems
• Implementing and optimizing algorithms for tasks such as anomaly detection, prediction, classification, optimization, clustering
• Developing High Performance Computing pipelines for scalability and monitoring

Work with satellite designers and operations planners

Work with experts in astrodynamics, sensors, AI/ML, High Performance Computing (HPC)

Use programming languages such as Python, C++, or others to leverage existing analysis tools and develop new ones

Conduct independent trade studies and technical assessments

Review and validate algorithms and results provided by external teams

Develop and optionally present actionable technical briefings

Flexible schedule: On-site core collaboration hours from 10 am to 3 pm

Supports a fully-funded prime contract with the government

2-10+ years of experience

Mentoring by experts in AI/ML, HPC, astrodynamics, sensing and other fields. Senior staff will have opportunities to serve as principals and team leaders.

Education degree: Computer Science, Data Science, Applied Math, or a related technical field